# library(dplyr)
QC metrics of cells before QC filtering
QC metrics of cells after QC filtering
Doublet detection
UMAP Clustering by cluster numbers
Celltype annotation based on breast markers
Heatmap of differentially expressed genes across annotated celltypes
Gene expression levels of breast atlas markers
Gene expression levels of immune cell markers
GSEA hallmark by cluster
QC metrics of cells before QC filtering
QC metrics of cells after QC filtering
Doublet detection
UMAP Clustering by cluster numbers
Celltype annotation based on breast markers
Heatmap of differentially expressed genes across annotated celltypes
Gene expression levels of breast atlas markers
Gene expression levels of immune cell markers
GSEA hallmark by cluster
QC metrics of cells before QC filtering
QC metrics of cells after QC filtering
Doublet detection
UMAP Clustering by cluster numbers
Celltype annotation based on breast markers
Heatmap of differentially expressed genes across annotated celltypes
Gene expression levels of breast atlas markers
Gene expression levels of immune cell markers
GSEA hallmark by cluster
QC metrics of cells before QC filtering
QC metrics of cells after QC filtering
Doublet detection
UMAP Clustering by cluster numbers
Celltype annotation based on breast markers
Heatmap of differentially expressed genes across annotated celltypes
Gene expression levels of breast atlas markers
Gene expression levels of immune cell markers
GSEA hallmark by cluster
UMAP by samples before integration
UMAP by samples after batch correction
Celltype annotation based on breast markers
Heatmap of differentially expressed genes across annotated celltypes
Heatmap of differentially expressed genes across annotated celltypes
Gene expression levels of breast atlas markers